ds_uwb

自相关检测方法是利用信号和噪声在相关域上的差别来构造检测器的。自相关检测是将信号与自身延迟一个时延后的信号作相关处理，或用双通道接收机的输出进行相关，得到扩频信号的自相关函数(Auto-correlation detection method is the use of signal and noise in the relevant field to construct the difference detector. Autocorrelation test is a time delay signal and its delayed signal for correlation, or the output of dual-channel receiver, associated, are spread spectrum signal autocorrelation function)

numbers 1.15 in hexa

字典树的基本功能是用来查询某个单词（前缀）在所有单词中出现次数的一种数据结构，它的插入和查询复杂度都为O(len),Len为单词（前缀）长度，但是它的空间复杂度却非常高，如果字符集是26个字母，那每个节点的度就有26个，典型的以空间换时间结构。(The basic function of the dictionary tree data structure is used to query a number of times a word (prefix) appears in all the words, which insertion and query complexity are O (len), Len is a word (prefix) length, but its space complexity is very high, if the character set is 26 letters, and that the degree of each node will have 26, the typical structure of space for time.)

3 files: imageslicer for splitting RGB image to 8 bit plans, getTopology to extract topology features features, and getShape to extract shape features . (good features for CBIR systems)

Finger print authentication system

This is control design and simulation document of PMSM. Hope you can edit and use it to your exercise. It is not actually integrated but I think it will be useful for you.

matlab关于时间序列分析的ma模型的有关程序(A matlab project about TIME SERIES ANALYSIS forecasting and control)

说明：  x=2*sin(4*pi*t)+5*cos(8*pi*t) 对其进行快速傅立叶变换 加入高斯噪声 再进行频谱分析(x = 2* sin (4* pi* t) 5* cos (8* pi* t) makes its rapid Fourier transform to re-Gaussian noise spectral analysis)

Simulink model for closed step change in inverter.

这本书提供了坚实的介绍卡尔曼滤波的理论和实践方面的读者。它已经更新了卡尔曼滤波，包括适应非线性滤波，更可靠的平滑方法，并在导航应用程序开发的实施和应用的最新发展。所有的软件是在MATLAB中，提供给读者的机会，发现如何卡尔曼滤波行动，并考虑实际运算需要保持结果的准确性。(This book provides readers with a solid introduction to the theoretical and practical aspects of Kalman filtering. It has been updated with the latest developments in the implementation and application of Kalman filtering, including adaptations for nonlinear filtering, more robust smoothing methods, and developing applications in navigation. All software is provided in MATLAB, giving readers the opportunity to discover how the Kalman filter works in action and to consider the practical arithmetic needed to preserve the accuracy of results. )